A "Smart" CCTV with Tensorflow, and Inception? On a rapsberry pi?

Imagine a CCTV at home that would trigger an alert when it detects a movement. Ok, this is easy. Imagine a CCTV that would trigger an alert when it detects a human (and not the cat). A little bit trickier. Now imagine a CCTV that would trigger an alert when it sees someone who is not from the family… Disclaimer: This article will not cover everything. I may post a second article later (or not).

Analyzing a parodic trailer (NSFW) with Google Cloud Video Intelligence

Google has recently announced its new service called “Google Cloud Video Intelligence”. The purpose of this service is to offer tagging and annotations of digital videos. I will try this service on a trailer of a French parody. This movie is made of several scenes taken from erotic movies of the seventies. Why this parody? because it is fun because it is composed of a lot of different scenes because it is short (so it won’t cost me a lot) because, as it is related to erotic of the seventies, I am curious about the result!

Chrome, the eye of the cloud - Computer vision with deep learning and only 2Gb of RAM

TL;DR: Thank you for passing by. This article is, as usual, geek oriented. However, if you are not a geek, and/or you are in a hurry, you can jump to the conclusion: Any real application? During the month of may, I have had the chance to attend to the Google Next event in London and the dotAI in Paris. In both conferences I learned a lot about machine learning.

Retour sur les conférences dotScale, édition 2017.

Note This post is written in french, as it was, at first, targeted for another support. I apologize for the people who do not speak the language. A propos de la dotScale Lundi 24 avril se tenait la cinquième édition de la conférence dotScale qui se décrit elle-même comme étant la tech conférence Européenne sur la “scalabilité”. Cette conférence se veut être le “TED” des informaticiens. Elle se déroule dans le prestigieux théâtre de Paris.

I have tried Extreme Programming within a sprint and I think it is an excellent agile method for the Ops!

Part I: Agility 2003 I have discovered the notion of extreme programming more than 15 years ago. My job was to integrate and to develop pieces of code in Java for the IBM Websphere Business Integration server. We were a small team with light programming skills. A part of our job was to operate the software, the other part was to develop. It was in 2003. We were trying hard to stick to the specific framework we developed.